| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 1006.260862 | 1006.260862 |
| Residual | 12.000000 | 0.667709 | 0.055642 |
| Total | 13.000000 | 1006.928571 | 77.456044 |
| F-TEST | 18084.407329 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 1.650624 |
| Von Neumann Ratio | 1.777595 |
| rho - Least Squares | 0.145957 |
| rho - Maximum Likelihood | 0.146109 |
| rho - Serial Correlation | 0.151989 |
| rho - Goldberger | 0.146033 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 657.142857 |
| Biased Variance X | 34084.693878 |
| Biased S.E. X | 184.620405 |
| Mean Y | 285.928571 |
| Biased Variance Y | 71.923469 |
| Biased S.E. Y | 8.480771 |
| Mean F | 285.928571 |
| Biased Variance F | 71.875776 |
| Biased S.E. F | 8.477958 |
| Mean e | 0.000000 |
| Biased Variance e | 0.047694 |
| Biased S.E. e | 0.063043 |